| Total Records: | 9,841 |
| Total Columns: | 17 |
| Numeric Columns: | 16 |
| Duplicate Records: | 0 |
| Memory Usage: | 1.28 MB |
| 🟢 timestamp | 0 (0.0%) |
| 🟢 energy_output | 0 (0.0%) |
| 🟢 temperature | 0 (0.0%) |
| 🟡 humidity | 35 (0.4%) |
| 🟡 wind_speed | 37 (0.4%) |
| 🟢 solar_irradiance | 0 (0.0%) |
| 🟢 panel_temp | 0 (0.0%) |
| 🟢 voltage | 0 (0.0%) |
| 🟢 current | 0 (0.0%) |
| 🟢 power_factor | 0 (0.0%) |
| 🟡 dust_level | 26 (0.3%) |
| 🟢 maintenance_needed | 0 (0.0%) |
| 🟢 temp_difference | 0 (0.0%) |
| 🟢 power | 0 (0.0%) |
| 🟢 apparent_power | 0 (0.0%) |
| 🟡 heat_index | 35 (0.4%) |
| 🟡 wind_cooling | 37 (0.4%) |
Overall data completeness is 99.6%. This is excellent for analysis.
Detected 12 columns with potential outliers. Consider investigating unusual values.
No duplicate records found. Time series data appears consistent.
LightGBM Classifier for predicting maintenance needs
LightGBM Regressor for energy output prediction
Isolation Forest for detecting system anomalies
This comprehensive report analyzed 9,841 data points spanning 410 days of solar panel system operation. The analysis includes performance metrics, maintenance patterns, data quality assessment, and actionable recommendations for system optimization.
For questions about this report or the solar panel monitoring system, please refer to the project documentation or contact the system administrators.